| { |
| "paper_id": "N06-1000", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T14:46:04.641201Z" |
| }, |
| "title": "Publicity Chairs", |
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| { |
| "first": "Robert", |
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| "C" |
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| "suffix": "", |
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| "email": "" |
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| { |
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| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
| "first": "Ibm", |
| "middle": [ |
| "T J" |
| ], |
| "last": "Watson", |
| "suffix": "", |
| "affiliation": {}, |
| "email": "" |
| }, |
| { |
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| "last": "Sanderson", |
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| "email": "" |
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| { |
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| "last": "Rudnicky", |
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| "email": "" |
| }, |
| { |
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| "last": "Milic-Frayling", |
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| "affiliation": {}, |
| "email": "" |
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| { |
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| { |
| "first": "Matt", |
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| "last": "Huenerfauth", |
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| "email": "" |
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| { |
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| "last": "Penn", |
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| { |
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| "last": "Zhou", |
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| { |
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| "last": "Abney", |
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| { |
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| "last": "Google", |
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| { |
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| "last": "Chen", |
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| { |
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| "abstract": "This year marks the third time that the conference on Human Language Technology has combined with the North American chapter meeting of the Association for Computational Linguistics. The roster of accepted papers reveals an eclectic mix of topics in natural-language processing, speech processing, and information retrieval. A gratifying number of the papers are difficult to classify because they span more than one of these three major areas of human language technology. For example, the boundary between natural-language processing and information retrieval is hard to draw in the papers that focus on the World Wide Web as a corpus; moreover, several of these include speech-related aspects as well. The crazy thing about putting on a conference like this is that you start out with a group of people who have never done it before, and by the time they really figure out what they are doing, the conference is over and you replace them with another group of people who have never done it before! To do a good job as general chair, however, there is only one really important thing to learn: pick really good people to do all the other jobs, sit back, and let them do all the work. I have been very fortunate to have a great group of conference organizers to rely on: the NYU local arrangements committee, headed by Satoshi Sekine; the program chairs Jennifer Chu-Carroll, Jeff Bilmes, and Mark Sanderson; the demonstration chairs Alex Rudnicky, John Dowding, and Natasa Milic-Frayling; the publications chairs Sanjeev Khudanpur and Brian Roark; the publicity chairs Dan Gildea, Ciprian Chelba, and Eric Brown; the sponsorship and exhibits chairs Ed Hovy and Patrick Pantel; the tutorial chairs Chris Manning, Doug Oard, and Jim Glass; the workshop chairs Lucy Vanderwende, Roberto Pieraccini, and Liz Liddy; the Doctoral Consortium chairs Matt Huenerfauth and Bo Pang, and their faculty advisor, Mitch Marcus. I would also like to thank ACL Business Manager Priscilla Rasmussen, who took on even more responsibility than she usually does to insure that the conference is a success; and the NAACL executive committee and HLT advisory board for encouragement and advice when we were just getting started and didn't know much about what needed to be done. Finally, I would like to thank the senior program committee members, all the paper reviewers, the student volunteers, and the conference sponsors, without whom the conference could not happen.", |
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| "text": "This year marks the third time that the conference on Human Language Technology has combined with the North American chapter meeting of the Association for Computational Linguistics. The roster of accepted papers reveals an eclectic mix of topics in natural-language processing, speech processing, and information retrieval. A gratifying number of the papers are difficult to classify because they span more than one of these three major areas of human language technology. For example, the boundary between natural-language processing and information retrieval is hard to draw in the papers that focus on the World Wide Web as a corpus; moreover, several of these include speech-related aspects as well. The crazy thing about putting on a conference like this is that you start out with a group of people who have never done it before, and by the time they really figure out what they are doing, the conference is over and you replace them with another group of people who have never done it before! To do a good job as general chair, however, there is only one really important thing to learn: pick really good people to do all the other jobs, sit back, and let them do all the work. I have been very fortunate to have a great group of conference organizers to rely on: the NYU local arrangements committee, headed by Satoshi Sekine; the program chairs Jennifer Chu-Carroll, Jeff Bilmes, and Mark Sanderson; the demonstration chairs Alex Rudnicky, John Dowding, and Natasa Milic-Frayling; the publications chairs Sanjeev Khudanpur and Brian Roark; the publicity chairs Dan Gildea, Ciprian Chelba, and Eric Brown; the sponsorship and exhibits chairs Ed Hovy and Patrick Pantel; the tutorial chairs Chris Manning, Doug Oard, and Jim Glass; the workshop chairs Lucy Vanderwende, Roberto Pieraccini, and Liz Liddy; the Doctoral Consortium chairs Matt Huenerfauth and Bo Pang, and their faculty advisor, Mitch Marcus. I would also like to thank ACL Business Manager Priscilla Rasmussen, who took on even more responsibility than she usually does to insure that the conference is a success; and the NAACL executive committee and HLT advisory board for encouragement and advice when we were just getting started and didn't know much about what needed to be done. Finally, I would like to thank the senior program committee members, all the paper reviewers, the student volunteers, and the conference sponsors, without whom the conference could not happen.", |
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| "text": "It is with pleasure that we preface the publications of the 2006 Human Language Technology conference -North American chapter of the Association for Computational Linguistics annual meeting (HLT-NAACL 2006) . The conference has a number of formats by which refereed work can be presented: full papers, short papers (either as a talk or poster), and demonstrations. As befits this multi-disciplinary conference, papers were submitted across the three topics of computational linguistics, information retrieval and speech recognition. This year, 257 full papers were submitted and 62 accepted (25% acceptance rate), 127 short papers submitted and 52 accepted (41% rate). It is pleasing to report that these numbers mark a strong increase in submissions compared to the last HLT NAACL conference run in 2004.", |
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| "text": "The selection of the high quality submissions in these proceedings was the product of a two tiered reviewing system. The three PC chairs selected 28 senior program committee (PC) members, who are internationally recognized for their subject expertise. This group constituted the top tier of the PC. Each of the members selected a group of reviewers to review both the full and short submitted papers. The complete PC numbered around 250. Three reviewers and one senior PC person were assigned per paper. Reviewing was double blinded. The senior PC oversaw the reviewing process, helped resolve any disputes, and at the end produced, for each paper, an overview of the reviewers' comments along with a preliminary decision on whether the submission should be accepted or not. These decisions formed the basis of discussion at a program committee meeting. Separate PC meetings were held for full and short papers. For full, a one day meeting was held at IBM Research Watson, NY; for short papers, a telephone conference call was held between the three PC chairs.", |
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| "text": "The senior PC also nominated candidates for best paper and best student paper, the two selected for the prizes were chosen by the PC chairs working in conjunction with the senior PCs. The papers that won were \"Probabilistic Context-Free Grammar Induction Based on Structural Zeros\" by Mehryar Mohri and Brian Roark and \"Prototype-Driven Learning for Sequence Models\" by Aria Haghighi and Dan Klein. Congratulations to them both.", |
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| "text": "We are indebted to all those who submitted papers to the conference and to all the reviewers and senior PC members who volunteered their time to help us in the selection process for the conference. We are particularly indebted to all the senior PC members who attended the PC meeting in January and found funds to pay for themselves to attend the meeting. Thanks guys, that was particularly generous of you. We are also grateful to IBM Watson for providing facilities for the PC meeting, Bob Moore for all of his prompt advice and help and a final thanks to Rich Gerber who ran and helped modify the START reviewing system", |
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| "text": "The HLT-NAACL conference has a PC chair for each of its three disciplines. Although work tasks were shared between the three chairs equally, as computational linguistics received by far the greatest number of submissions, Jennifer Chu-Carroll ended up having to oversee more papers and recruit more senior PC members than the other two chairs, she also volunteered to host the PC meeting at IBM. Therefore, the two other chairs of HLT-NAACL 2006 ", |
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| "text": "Michael Gamon, Microsoft Research Marina Sokolova, U. de Montr\u00e9al Preslav Nakov, U. of Califonia, Berkeley Ana-Maria Popescu, U. of Washington Carlos Prolo, Pontif\u00edcia U. Cat\u00f3lica do Rio Grande do Sul", |
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| "raw_text": "Tuesday, June 6 (continued) Machine Translation II 10:45-11:10 Relabeling Syntax Trees to Improve Syntax-Based Machine Translation Quality Bryant Huang and Kevin Knight 11:10-11:35 Grammatical Machine Translation Stefan Riezler and John T. Maxwell III 11:35-12:00 Synchronous Binarization for Machine Translation Hao Zhang, Liang Huang, Daniel Gildea and Kevin Knight Dialogue 10:45-11:10 Modelling User Satisfaction and Student Learning in a Spoken Dialogue Tutoring System with Generic, Tutoring, and User Affect Parameters Kate Forbes-Riley and Diane Litman 11:10-11:35 Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learn- ing Joel Tetreault and Diane Litman 11:35-12:00 Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging Gang Ji and Jeff Bilmes Relation Extraction 10:45-11:10 Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel Min Zhang, Jie Zhang and Jian Su 11:10-11:35 Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text Aron Culotta, Andrew McCallum and Jonathan Betz 11:35-12:00 Preemptive Information Extraction using Unrestricted Relation Discovery Yusuke Shinyama and Satoshi Sekine 12:00-1:30 Lunch xxi Tuesday, June 6 (continued) Best Paper And Plenary Demo Presentations 1:30-2:00 Probabilistic Context-Free Grammar Induction Based on Structural Zeros Mehryar Mohri and Brian Roark 2:00-2:30 Prototype-Driven Learning for Sequence Models Aria Haghighi and Dan Klein 2:30-3:00 Plenary demos: InfoMagnets: Making Sense of Corpus Data Jamie Arguello and Carolyn Rose Question Answering with Web, Mobile and Speech Interfaces Edward Whittaker, Joanna Mrozinski, and Sadaoki Furui From Pipedreams to Products and Promise! Janet Baker and Patri Pugliese 3:00-3:15 Break 3:15-5:15 Posters and Demos 7:00 Banquet Wednesday, June 7 9:00-10:00 Keynote Speaker II: Diane Litman Spoken Dialogue for Intelligent Tutoring Systems: Opportunities and Challenges 10:00-10:30 Break Morphology/Grammar Induction 10:30-10:55 Learning Morphological Disambiguation Rules for Turkish Deniz Yuret and Ferhan Ture 10:55-11:20 Cross-Entropy and Estimation of Probabilistic Context-Free Grammars Anna Corazza and Giorgio Satta 11:20-11:45 Estimation of Consistent Probabilistic Context-free Grammars Mark-Jan Nederhof and Giorgio Satta 11:45-12:10 A Better N-Best List: Practical Determinization of Weighted Finite Tree Automata Jonathan May and Kevin Knight xxii Wednesday, June 7 (continued)", |
| "links": null |
| }, |
| "BIBREF18": { |
| "ref_id": "b18", |
| "title": "Nuggeteer: Automatic Nugget-Based Evaluation using Descriptions and Judgements Gregory Marton and Alexey Radul", |
| "authors": [], |
| "year": null, |
| "venue": "Towards Spoken-Document Retrieval for the Internet: Lattice Indexing For Large-Scale Web-Search Architectures Zheng-Yu Zhou", |
| "volume": "10", |
| "issue": "", |
| "pages": "45--57", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Generation/Summarization/Question Answering 10:30-10:55 Aggregation via Set Partitioning for Natural Language Generation Regina Barzilay and Mirella Lapata 10:55-11:20 Incorporating Speaker and Discourse Features into Speech Summarization Gabriel Murray, Steve Renals, Jean Carletta and Johanna Moore 11:20-11:45 Nuggeteer: Automatic Nugget-Based Evaluation using Descriptions and Judgements Gregory Marton and Alexey Radul 11:45-12:10 Will Pyramids Built of Nuggets Topple Over? Jimmy Lin and Dina Demner-Fushman Information Retrieval 10:30-10:55 Creating a Test Collection for Citation-based IR Experiments Anna Ritchie, Simone Teufel and Stephen Robertson 10:55-11:20 A Machine Learning based Approach to Evaluating Retrieval Systems Huyen-Trang Vu and Patrick Gallinari 11:20-11:45 Language Model Information Retrieval with Document Expansion Tao Tao, Xuanhui Wang, Qiaozhu Mei and ChengXiang Zhai 11:45-12:10 Towards Spoken-Document Retrieval for the Internet: Lattice Indexing For Large-Scale Web-Search Architectures Zheng-Yu Zhou, Peng Yu, Ciprian Chelba and Frank Seide 12:10-1:40 Lunch 1:40-2:30 NAACL Business Meeting xxiii Wednesday, June 7 (continued)", |
| "links": null |
| }, |
| "BIBREF19": { |
| "ref_id": "b19", |
| "title": ":30 Parser Combination by Reparsing Kenji Sagae and Alon Lavie Short Papers: Semantics 2:30-2:45 Unsupervised Induction of Modern Standard Arabic Verb Classes Neal Snider and Mona Diab 2:45-3:00 Word Domain Disambiguation via Word Sense Disambiguation Antonio Sanfilippo, Stephen Tratz and Michelle Gregory 3:00-3:15 Evaluation of Utility of LSA for Word Sense Discrimination Esther Levin, Mehrbod Sharifi and Jerry Ball 3:15-3:30 Semi-supervised Relation Extraction with Label Propagation Jinxiu Chen, Donghong Ji, Chew Lim Tan and Zhengyu Niu Short Papers: Speech and Video Processing 2:30-2:45 Initial Study on Automatic Identification of Speaker Role in Broadcast News Speech Yang Liu 2:45-3:00 Extracting Salient Keywords from Instructional Videos Using Joint Text, Audio and Visual Cues Youngja Park and Ying Li 3:00-3:15 Class Model Adaptation for Speech Summarisation Pierre Chatain", |
| "authors": [ |
| { |
| "first": "Kikui", |
| "middle": [], |
| "last": "Zhang", |
| "suffix": "" |
| }, |
| { |
| "first": "", |
| "middle": [], |
| "last": "Genichiro", |
| "suffix": "" |
| } |
| ], |
| "year": null, |
| "venue": "15 An Information-Theoretic Approach to Automatic Evaluation of Summaries Chin-Yew Lin, Guihong Cao, Jianfeng Gao and Jian-Yun Nie Processing in/for Language", |
| "volume": "2", |
| "issue": "", |
| "pages": "25--29", |
| "other_ids": {}, |
| "num": null, |
| "urls": [], |
| "raw_text": "Short Papers: Morphology/Syntax 2:30-2:45 Subword-based Tagging by Conditional Random Fields for Chinese Word Segmentation Ruiqiang Zhang, Kikui Genichiro and sumita eiichiro 2:45-3:00 Accurate Parsing of the Proposition Bank Gabriele Musillo and Paola Merlo 3:00-3:15 Early Deletion of Fillers In Processing Conversational Speech Matthew Lease and Mark Johnson 3:15-3:30 Parser Combination by Reparsing Kenji Sagae and Alon Lavie Short Papers: Semantics 2:30-2:45 Unsupervised Induction of Modern Standard Arabic Verb Classes Neal Snider and Mona Diab 2:45-3:00 Word Domain Disambiguation via Word Sense Disambiguation Antonio Sanfilippo, Stephen Tratz and Michelle Gregory 3:00-3:15 Evaluation of Utility of LSA for Word Sense Discrimination Esther Levin, Mehrbod Sharifi and Jerry Ball 3:15-3:30 Semi-supervised Relation Extraction with Label Propagation Jinxiu Chen, Donghong Ji, Chew Lim Tan and Zhengyu Niu Short Papers: Speech and Video Processing 2:30-2:45 Initial Study on Automatic Identification of Speaker Role in Broadcast News Speech Yang Liu 2:45-3:00 Extracting Salient Keywords from Instructional Videos Using Joint Text, Audio and Visual Cues Youngja Park and Ying Li 3:00-3:15 Class Model Adaptation for Speech Summarisation Pierre Chatain, Edward Whittaker, Joanna Mrozinski and Sadaoki Furui 3:15-3:30 Summarizing Speech Without Text Using Hidden Markov Models Sameer Maskey and Julia Hirschberg 00-4:25 A fast finite-state relaxation method for enforcing global constraints on sequence decoding Roy Tromble and Jason Eisner 4:25-4:50 Semantic role labeling of nominalized predicates in Chinese Nianwen Xue 4:50-5:15 Learning for Semantic Parsing with Statistical Machine Translation Yuk Wah Wong and Raymond Mooney Evaluation 4:00-4:25 ParaEval: Using Paraphrases to Evaluate Summaries Automatically Liang Zhou, Chin-Yew Lin, Dragos Stefan Munteanu and Eduard Hovy 4:25-4:50 Paraphrasing for Automatic Evaluation David Kauchak and Regina Barzilay 4:50-5:15 An Information-Theoretic Approach to Automatic Evaluation of Summaries Chin-Yew Lin, Guihong Cao, Jianfeng Gao and Jian-Yun Nie Processing in/for Language Models 4:00-4:25 Cross Linguistic Name Matching in English and Arabic Andrew Freeman, Sherri Condon and Christopher Ackerman 4:25-4:50 Language Model-Based Document Clustering Using Random Walks Gunes Erkan 4:50-5:15 Unlimited vocabulary speech recognition for agglutinative languages Mikko Kurimo, Antti Puurula, Ebru Arisoy, Vesa Siivola, Teemu Hirsimki, Janne Pylkknen, Tanel Alume and Murat Saraclar", |
| "links": null |
| } |
| }, |
| "ref_entries": { |
| "TABREF1": { |
| "num": null, |
| "html": null, |
| "content": "<table><tr><td>Segment Choice Models: Feature-Rich Models for Global Distortion in Statistical Machine Translation</td></tr><tr><td>Roland Kuhn, Denis Yuen, Michel Simard, Patrick Paul, George Foster,</td></tr></table>", |
| "type_str": "table", |
| "text": "Capitalizing Machine TranslationWeiWang, Kevin Knight and Daniel Marcu . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Do we need phrases? Challenging the conventional wisdom in Statistical Machine Translation Chris Quirk and Arul Menezes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Improved Statistical Machine Translation Using Paraphrases Chris Callison-Burch, Philipp Koehn and Miles Osborne . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Eric Joanis and Howard Johnson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Effectively Using Syntax for Recognizing False Entailment Rion Snow, Lucy Vanderwende and Arul Menezes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33" |
| } |
| } |
| } |
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